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Author Question: A study of the top MBA programs attempted to predict the average starting salary (in $1000's) of ... (Read 58 times)

genevieve1028

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A study of the top MBA programs attempted to predict the average starting salary (in $1000's) of graduates of the program based on the amount of tuition (in $1000's) charged by the program and the average GMAT score of the program's students. The results of a regression analysis based on a sample of 75 MBA programs is shown below:

Least Squares Linear Regression of Salary

Predictor
Variables Coefficient Std Error T P
Constant -687.851 165.406 4.16 0.0001
Tuition -11.3197 2.19724 -5.15 0.0000
GMAT -0.96727 0.25535 -3.79 0.0003
TxG 0.01850 0.00331 5.58 0.0000

R-Squared 0.7816 Resid. Mean Square (MSE) 301.251
Adjusted R-Squared 0.7723 Standard Deviation 17.3566

Source DF SS MS F P
Regression 3 76523.8 25510.9 84.68 0.0000
Residual 71 21388.8 301.3
Total 74 97921.7

Cases Included 75    Missing Cases 0

One of the t-test test statistics is shown on the printout to be the value t = 5.58. Interpret this value.
◦ There is sufficient evidence, at α = 0.05, to indicate that the interaction between average tuition and average GMAT score is a useful predictor of the average starting salary of graduates of MBA programs.
◦ There is sufficient evidence, at α = 0.05, to indicate that at least one of the variables proposed in the interaction model is useful at predicting the average starting salary of graduates of MBA programs.
◦ There is insufficient evidence, at α = 0.05, to indicate that at least one of the variables proposed in the interaction model is useful at predicting the average starting salary of graduates of MBA programs.
◦ There is insufficient evidence, at α = 0.05, to indicate that the interaction between average tuition and average GMAT score is a useful predictor of the average starting salary of graduates of MBA programs.


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Marked as best answer by genevieve1028 on Feb 14, 2020

micaelaswann

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genevieve1028

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Reply 2 on: Feb 14, 2020
Excellent


alvinum

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Reply 3 on: Yesterday
Wow, this really help

 

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